Multiscale Geographically Weighted Regression: Theory and Practice
暫譯: 多尺度地理加權迴歸：理論與實務

多尺度地理加權迴歸（MGWR）是一種重要的方法，用於探索空間異質性和建模空間分析中的局部空間過程。本書介紹並解釋如何在迴歸框架內建模連續的空間過程，並作為學生和研究人員的實用資源。

A. Stewart Fotheringham is a Regents' Professor of Computational Spatial Science in the School of Geographical Sciences and Urban Planning at Arizona State University. He is also Director of the Spatial Analysis Research Center (SPARC) and a Distinguished Scientist in the Institute for Global Futures. He is a member of the US National Academy of Sciences and of Academia Europaea and a Fellow of both the UK's Academy of Social Sciences and the Association of American Geographers. He has been awarded over $15m in funding, published 12 books and over 250 research publications. He has over 36,000 citations according to Google Scholar as of March 2023. He is one of the top cited academics in the field of geography. He has been awarded the Lifetime Achievement Award by the Chinese Professional Association of GIS and the Distinguished Research Honors Award by the American Association of Geographers.

Taylor Oshan is an Assistant Professor in the Center for Geospatial Information Science in the Department of Geographical Sciences, University of Maryland, as well as an affiliate of the Social Data Science Center, the Maryland Population Research Center, and the Maryland Transportation Institute. His research focuses on developing and applying multiscale methods and local statistical models, particularly of human processes within urban environments, to understand how relationships change across different spatial contexts. He also leads projects to develop open source tools for spatial analysis, including the core algorithms for the Multiscale Geographically Weighted Regression software amongst others. He has published over 25 peer-reviewed manuscripts and has collaborated or lead funded projects totaling over $2.3m. He was elected as a board member in 2021 for the Spatial Analysis and Modeling specialty group of the American Association of Geographers and joined Applied Spatial Analysis and Policy as a co-editor-in-chief in 2023.

Ziqi Li is an Assistant Professor of Quantitative Geography in the Department of Geography at Florida State University. His research focuses on the methodological development of spatially explicit and explainable statistical and machine learning models, and he is one of the primary contributors to the field of Multiscale Geographically Weighted Regression. He has published over 20 peer-reviewed journal articles in these areas. He is a winner of multiple prestigious international awards including the Nystrom Award by the American Association of Geographers (AAG) in 2021 and the John Odland Award by the Spatial Analysis and Modeling Group of AAG in 2020.

A. Stewart Fotheringham 是亞利桑那州立大學地理科學與城市規劃學院的計算空間科學特聘教授。他同時也是空間分析研究中心（SPARC）的主任，以及全球未來研究所的傑出科學家。他是美國國家科學院和歐洲科學院的成員，並且是英國社會科學院和美國地理學會的院士。他獲得了超過1500萬美元的資助，出版了12本書籍和超過250篇研究論文。根據Google Scholar，截至2023年3月，他的引用次數超過36,000次。他是地理學領域中被引用最多的學者之一。他曾獲得中國地理資訊系統專業協會的終身成就獎，以及美國地理學會的傑出研究榮譽獎。

Taylor Oshan 是馬里蘭大學地理科學系地理空間資訊科學中心的助理教授，同時也是社會數據科學中心、馬里蘭人口研究中心和馬里蘭交通研究所的聯盟成員。他的研究專注於開發和應用多尺度方法和地方統計模型，特別是城市環境中人類過程的研究，以理解不同空間背景下關係的變化。他還領導開發空間分析的開源工具的項目，包括多尺度地理加權回歸軟體的核心算法等。他已經發表了超過25篇經過同行評審的手稿，並且參與或主導的資助項目總額超過230萬美元。他於2021年當選美國地理學會空間分析與建模專業小組的董事會成員，並於2023年加入《應用空間分析與政策》擔任共同主編。

Ziqi Li 是佛羅里達州立大學地理系的定量地理助理教授。他的研究專注於空間明確和可解釋的統計及機器學習模型的方法論發展，他是多尺度地理加權回歸領域的主要貢獻者之一。他在這些領域已經發表了超過20篇經過同行評審的期刊文章。他獲得了多個著名的國際獎項，包括2021年美國地理學會（AAG）的Nystrom獎和2020年AAG空間分析與建模小組的John Odland獎。